Press Corner

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Prof. Hendrik Dietz and Prof. Dr. Wolfgang A. Wall, Principal Investigators affiliated with MSRM, won ERC Advanced Grants to develop artificial viruses from DNA origami and create a computer model of the human lungs using AI. [mehr]

MSRM warmly welcomes Prof. Dr.-Ing. Sandra Hirche, who will lead the AI sector at the MSRM Science Board together with Prof. Dr.-Ing. Klaus Diepold. [mehr]

Listen to Prof. Sami Haddadin's talk about "Digitized Presence in the Era of Intelligent Robotic Avatars at this year‘s Bitkom Big-Data.AI Summit. Starting tomorrow (21st April) at 13:50 MESZ. Register for free at http://Big-Data.AI [mehr]

The Round Table on Engineers for the Future was an insightful conversation among experienced engineers about the future of a socially responsible engineering. [mehr]

We have great news: Robothon® – The Grand Challenge 2021 as part of munich_i goes digital! Apply as a team until 23:59 CEST 30 April 2021 on our website at [mehr]

The “Modeling and Rehabilitation Robotics” research team developed a safe and minimalistic control and learning (AI) algorithm, which automatically finds and provides the optimal balance between rigid support and “soft” guidance for any given patient during therapy. This assist-as-needed (AAN) control strategy is being commercialized in collaboration with the high-tech startup Reactive Robotics and Schön Klinik Bad Aibling, as part of a robotic assistive device called VEMO, used for the early rehabilitation of ICU patients. [mehr]

TUM Venture Labs aim to strengthen the startup ecosystem and attract more technological capital in the greater Munich area. The initiative offers educational programs, venturing support, and an ecosystem consisting of events, networks, and infrastructure that interdisciplinary teams can use to bring research results and ideas into a viable business venture. One of the many venture labs is the TUM Venture Lab Robotics/AI. [mehr]

Ein Forschungsteam der Munich School of Robotics and Machine Intelligence hat ein neues Frühwarnsystem für autonome Fahrzeuge entwickelt, das mit Künstlicher Intelligenz aus Tausenden realen Verkehrssituationen lernt. Eine Studie in Zusammenarbeit mit der BMW Group zeigt, dass das System bei heutigen selbstfahrenden Entwicklungsfahrzeugen bereits sieben Sekunden im Voraus mit mehr als 85 Prozent Genauigkeit vor einer potenziell kritischen Situation warnen kann, die die Autos noch nicht allein meistern können. [mehr]

Das IEEE ehrte Robin Kirschner, Nico Mansfeld, Saeed Abdolshah und Prof. Sami Haddadin, Autoren des Paper mit dem Titel "Experimental Analysis of Impact Forces in Constrained Collisions According to ISO/TS 15066" [mehr]

Jugend forscht ist ein bundesweiter Nachwuchswettbewerb, der besondere Leistungen und Begabungen in Mathematik, Informatik, Naturwissenschaften und Technik fördert. [mehr]